Lead Full-Stack Engineer: Multi-Cloud Security

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer, Full Stack/Multi-Cloud Security to drive end-to-end security across Azure, AWS, and GCP.

You will translate policy into technical controls and build automated, auditable security across pipelines, with strong emphasis on secure coding and resilience. You will write production code in Python or Go, mentor developers, and lead cross-functional delivery while advancing enterprise-approved AI-enabled tooling with rigorous validation

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proven experience across end-to-end backend delivery: system design, development, testing, deployment, and production operations.
• Strong proficiency in Python or Go for building services and automation.
• Hands-on CI/CD expertise using Jenkins in enterprise delivery environments.
• Solid SDLC execution, including secure coding, test strategy, release governance, and operational support.
• Cloud-native engineering experience on Azure, AWS, or GCP.
• Experience implementing security, audit, and compliance controls in regulated environments.
• Production experience with Kubernetes and workflow orchestration.
• Ability to lead cross-functional delivery and mentor developers, with a strong focus on secure and resilient engineering practices.

Responsibilities

• Design and deliver multi-cloud security and continuous compliance solutions across Azure, AWS, and GCP.
• Translate regulatory and policy requirements into technical controls, measurable KPIs/KRIs, and actionable engineering roadmaps.
• Build control automation for preventive, detective, and corrective controls, including validation, evidence capture, exception handling, and remediation.
• Implement audit-ready observability and traceability across services and delivery pipelines, including logs, metrics, lineage, and reporting.
• Write high-quality, maintainable production code in Python or Go, and contribute to Java components where integration or platform requirements apply.
• Engineer workflow orchestration for control execution, exception processing, and remediation across cloud and platform systems.
• Build and optimize CI/CD pipelines using Jenkins, including DevSecOps quality and security gates.
• Integrate enterprise systems and APIs including Jira, Confluence, Bitbucket, identity/authentication platforms, and cloud provider services.
• Lead reliability and security engineering excellence: drive code/architecture reviews and standards; troubleshoot complex incidents with root-cause analysis; produce and maintain architecture documentation, ADRs, operational runbooks, control implementation standards; evaluate and integrate third-party tools; and lead responsible adoption of enterprise-approved AI-assisted engineering with robust validation for correctness, security, performance, resiliency, and data handling.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Skills

Python

Go

CI/CD

Jenkins

Kubernetes

Cloud security

AI-assisted tooling

Security engineering

Incident analysis

Technical leadership

Education

Formal software engineering certification

Tools

Jira

Confluence

Bitbucket

Terraform

Job description

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer, Full Stack/Multi-Cloud Security to drive end-to-end security across Azure, AWS, and GCP.

You will translate policy into technical controls and build automated, auditable security across pipelines, with strong emphasis on secure coding and resilience. You will write production code in Python or Go, mentor developers, and lead cross-functional delivery while advancing enterprise-approved AI-enabled tooling with rigorous validation